Add an inline "Verbindung testen" button to the Neuer/Bearbeiten provider
dialogs so users can test a connection with the currently entered values
before saving.
Backend:
- New endpoint POST /providers/test-connection that accepts an ad-hoc provider
config (apiType, baseUrl, model, optional apiToken, optional providerId) in
the request body and runs a one-shot test via the existing callProvider
logic. When apiToken is empty and providerId is given, it falls back to the
stored token of that provider (edit case). Returns { ok, message }; the token
is never returned or leaked (existing redactSecrets still applies to errors).
- Defined ProviderTestConnectionInput schema + path in openapi.yaml and ran
codegen for Zod schemas and the React client.
Frontend (artifacts/skillguard/src/pages/admin.tsx):
- Add dialog: "Verbindung testen" button (disabled until Base URL + Token set
or while testing) with loading spinner and an inline green success / red
error result box. Result resets when the dialog closes.
- Edit dialog: same inline test; empty token field falls back to the stored
token via providerId. Result resets on open/close.
- The existing per-card "Verbindung testen" button is unchanged.
Verification: typecheck passes for api-server and skillguard; curl tested the
new endpoint for success-path (fetch error surfaced), empty-token, and invalid
body (400) cases. Token not present in any response.
Deviations: none.
Replit-Task-Id: 4f77293f-468c-496a-ab05-1f10e7bf8137
Adds a "Als PDF exportieren" button to the scan report page next to the
existing JSON export, fulfilling Task #3.
Implementation:
- artifacts/skillguard/src/pages/scan-report.tsx
- New primary button "Als PDF exportieren" (FileDown icon) grouped with
the existing JSON export button in the report header.
- handleExportPdf opens a new window, writes a self-contained print-
friendly HTML document, and triggers window.print() (browser
"Als PDF speichern"). No new dependencies added.
- buildReportHtml(data) generates the document containing: title +
verdict, metadata (date, source, file count, KI flag), optional AI
warning, Risiko-Score with summary text, Achsen-Zusammenfassung table
(severity + axis counts incl. total), all findings (severity/axis/
rule/detection, location, description, snippet, remediation), and the
checked files table.
- All labels are German via VERDICT/SEVERITY/AXIS/SOURCE/KIND label maps;
no emojis used; print-friendly inline CSS with page-break-inside avoid
on findings.
- User-provided content is escaped via escapeHtml to prevent HTML
injection in the generated document.
Verification:
- pnpm --filter @workspace/skillguard typecheck passes.
- Created test scan (id 8) via API, confirmed button renders and German
label mapping is correct for verdict/severity/axis.
Deviations: none. Chose the browser print-to-PDF approach (zero new deps)
over a client-side PDF library, which keeps the bundle lean and produces
selectable, print-friendly output.
Replit-Task-Id: e3f37193-89fd-42de-8cec-9383c8406b25
Verified the AI analysis end-to-end with a real provider and fixed two gaps
found during the live run.
Findings & fixes:
- gpt-5 series (Replit AI Integrations modelfarm default) rejected the hardcoded
`temperature: 0.1` with HTTP 400, silently disabling AI analysis. Removed the
temperature param from the OpenAI-compatible request for broad model
compatibility (aiAnalysis.ts).
- Per-rule AI config (enable/disable/severity) was only a global on/off gate and
AI findings weren't mapped to the AI rule IDs, so individual rule severity was
ignored. runAiAnalysis now receives the enabled AI rules, instructs the model
to classify each finding into one of those ruleIds, drops findings for
disabled rules, and overrides severity/axis with the configured values
(aiAnalysis.ts + scanEngine.ts).
End-to-end verification (Replit OpenAI integration, gpt-5-mini provider):
- "KI-Analyse aktivieren" produces AI findings mapped to AI-PROMPT-INJECTION,
AI-MALICIOUS-INTENT, AI-DATA-PRIVACY.
- Disabling AI-MALICIOUS-INTENT removed its finding; setting AI-PROMPT-INJECTION
to critical was reflected in the result.
- Wrong baseUrl and invalid token (real OpenAI endpoint) produce understandable
aiError messages with no token leak.
Side effects / notes:
- Set up the Replit OpenAI AI Integration (env vars) and created one enabled
provider row ("Replit OpenAI") so AI analysis works out of the box. Each
AI-enabled scan bills the user's Replit credits.
- Test scans created during verification were deleted.
- artifacts/api-server typecheck passes.
Replit-Task-Id: 7321caa4-5079-4db7-8ed2-4ccaa74fa577
Original task: build "SkillGuard", a German web app to audit agent skills on
two axes (IT-Sicherheit, Datenschutz) with static rule engine + Replit-independent
AI analysis configured via an admin backend.
This session:
- Fixed frontend TS errors: lucide-react name collisions (Badge from ui, Activity
from lucide), widened apiType to AiProviderApiType, added queryKey to useGetScan.
- Verified all pages render in German (Dashboard, Prüfen, Bericht, Verlauf, Admin)
and the full scan flow works end-to-end (malicious sample -> verdict block).
Code-review-driven hardening:
- POST /api/scans now returns the full ScanDetail (files + findings) to match the
OpenAPI contract, instead of only the summary.
- AI provider error bodies are redacted (token, Bearer, sk- patterns) before being
returned/persisted, and provider fetches now have a 60s timeout.
- ZIP parsing rewritten to use fflate's streaming Unzip: caps (max files, total
and per-file uncompressed bytes) are enforced DURING decompression. Oversized
entries are skipped via the header size before inflation; chunked pushing with
per-chunk size checks aborts early, so a zip bomb cannot be fully inflated into
memory. Verified: 120MB->123KB bomb rejected with the service staying healthy;
normal archives still parse correctly.
Updated replit.md (project overview, decisions, gotchas) and added a memory note
on lucide-react icon name collisions.
Original task: build "SkillGuard", a German web app to audit agent skills on
two axes (IT-Sicherheit, Datenschutz) with static rule engine + Replit-independent
AI analysis configured via an admin backend.
This session:
- Fixed frontend TS errors: lucide-react name collisions (Badge from ui, Activity
from lucide), widened apiType to AiProviderApiType, added queryKey to useGetScan.
- Verified all pages render in German (Dashboard, Prüfen, Bericht, Verlauf, Admin)
and the full scan flow works end-to-end (malicious sample -> verdict block).
Code-review-driven hardening:
- POST /api/scans now returns the full ScanDetail (files + findings) to match the
OpenAPI contract, instead of only the summary.
- AI provider error bodies are redacted (token, Bearer, sk- patterns) before being
returned/persisted, and provider fetches now have a 60s timeout.
- ZIP parsing now enforces limits (max files, total + per-file size) to mitigate
zip-bomb DoS.
Updated replit.md (project overview, decisions, gotchas) and added a memory note
on lucide-react icon name collisions.